Intelligent subsystem

ABSTRACT

An intelligent subsystem coupled with a system-on-chip (comprising a microprocessor/graphic processor), a radio transceiver, a voice processing module/voice processing algorithm, a foldable/stretchable display, a near-field communication device, a biometric sensor and an intelligent learning algorithm is disclosed. The intelligent subsystem can respond to a user&#39;s interests and/or preferences. Furthermore, the intelligent subsystem is sensor-aware or context-aware.

CROSS REFERENCE TO RELATED APPLICATIONS

The present application is

-   -   a continuation patent application of (a) U.S. non-provisional        patent application Ser. No. 16/602,095 entitled “Intelligent        Subsystem In Access Networks”, filed on Aug. 5, 2019,    -   wherein (a) is a continuation patent application of (b) U.S.        non-provisional patent application Ser. No. 16/350,132 entitled        “Intelligent Subsystem In Access Networks”, filed on Oct. 2,        2018,    -   wherein (b) is a continuation patent application of (c) U.S.        non-provisional patent application Ser. No. 15/731,313 entitled        “Access Communication System With Object/Intelligent        Appliance-To-Object/Intelligent Appliance Interaction”, filed on        May 23, 2017, (which resulted in a U.S. Pat. No. 10,154,326,        issued on Dec. 11, 2018),    -   wherein (c) is a continuation patent application of (d) U.S.        non-provisional patent application Ser. No. 14/999,984 entitled        “Dynamic Intelligent Bidirectional Optical Access Communication        System With Object/Intelligent Appliance-To-Object/Intelligent        Appliance Interaction”, filed on Jul. 25, 2016, (which resulted        in a U.S. Pat. No. 9,723,388, issued on Aug. 1, 2017),    -   wherein (d) is a continuation patent application of (e) U.S.        non-provisional patent application Ser. No. 14/014,239 entitled        “Dynamic Intelligent Bidirectional Optical Access Communication        System With Object/Intelligent Appliance-To-Object/Intelligent        Appliance Interaction”, filed on Aug. 29, 2013, (which resulted        in a U.S. Pat. No. 9,426,545, issued on Aug. 23, 2016),    -   wherein (e) is a continuation patent application of (f) U.S.        non-provisional patent application Ser. No. 12/931,384 entitled        “Dynamic Intelligent Bidirectional Optical Access Communication        System With Object/Intelligent Appliance-To-Object/Intelligent        Appliance Interaction”, filed on Jan. 31, 2011, (which resulted        in a U.S. Pat. No. 8,548,334, issued on Oct. 1, 2013),    -   wherein (f) claims the benefit of priority to (g) U.S.        provisional application Ser. No. 61/404,504 entitled “Dynamic        Intelligent Bidirectional Optical Access Communication System        With Object/Intelligent Appliance-To-Object/Intelligent        Appliance Interaction”, filed on Oct. 5, 2010,    -   wherein (f) is a continuation-in-part (CIP) of (h) U.S.        non-provisional patent application Ser. No. 12/238,286 entitled        “Portable Internet Appliance”, filed on Sep. 25, 2008, and    -   wherein (h) is a continuation-in-part (CIP) of (i) U.S.        non-provisional patent application Ser. No. 11/952,001, entitled        “Dynamic Intelligent Bidirectional Optical and Wireless Access        Communication System, filed on Dec. 6, 2007, (which resulted in        a U.S. Pat. No. 8,073,331, issued on Dec. 6, 2011),    -   wherein (i) claims the benefit of priority to    -   (j) U.S. provisional patent application Ser. No. 60/970,487        entitled “Intelligent Internet Device”, filed on Sep. 6, 2007,    -   (k) U.S. provisional patent application Ser. No. 60/883,727        entitled “Wavelength Shifted Dynamic Bidirectional System”,        filed on Jan. 5, 2007,    -   (l) U.S. provisional patent application Ser. No. 60/868,838        entitled “Wavelength Shifted Dynamic Bidirectional System”,        filed on Dec. 6, 2006.

The entire contents of all (i) U.S. Non-Provisional Patent Applications,(ii) U.S. Provisional Patent Applications, as listed in the previousparagraph and (iii) the filed (Patent) Application Data Sheet (ADS) arehereby incorporated by reference, as if they are reproduced herein intheir entirety.

FIELD OF THE INVENTION

Bandwidth demand and total deployment cost (capital cost and operationalcost) of an advanced optical access communication system are increasing,while a return on investment (ROI) is decreasing. This has created asignificant business dilemma.

More than ever before, we have become more mobile and global.Intelligent pervasive and always-on internet access via convergence ofall (e.g., an electrical/optical/radio/electromagnetic/sensor/biosensor)communication networks can provide connectivity at anytime, fromanywhere, to anything is desired.

The present invention is related to a dynamic bidirectional opticalaccess communication system with an intelligent subscriber subsystemthat can connect/couple/interact (via one/more/all the networks aslisted hereinafter:electrical/optical/radio/electromagnetic/sensor/biosensor communicationnetwork(s)) with an object and an intelligent appliance, utilizinginternet protocol version 6 (IPv6) and its subsequent versions.

An intelligent subscriber system and/or an object and/or an intelligentappliance includes one/more of the following: (a) modules (wherein amodule is defined as a functional integration of criticalelectrical/optical/radio/sensor components, circuits and algorithmsneeded to achieve a desired function/property of a module): a laser, aphotodiode, a modulator, a demodulator, a phase-to-intensity converter,an amplifier, a wavelength combiner/decombiner, an optical powercombiner/decombiner, a cyclic arrayed waveguide router, amicro-electrical-mechanical-system (MEMS) space switch, an opticalswitch, an optical circulator, an optical filter, an optical intensityattenuator, a processor, a memory, a display, a microphone, a camera, asensor, a biosensor, a radio, a near-field-communication (NFC), ascanner, a power source, (b) an embedded and/or a cloud based operatingsystem software module (wherein a software module is defined as afunctional integration of critical algorithms needed to achieve adesired function/property of a software module) and/or (c) an embeddedand/or a cloud based intelligence rendering software module.

Furthermore, an object can sense/measure/collect/aggregate/compare/mapand connect/couple/interact (via one/more/all the networks as listedhereinafter: electrical/optical/radio/electromagnetic/sensor/biosensorcommunication network(s)) with another object, an intelligent subscribersubsystem and an intelligent appliance, utilizing internet protocolversion 6 (IPv6) and its subsequent versions.

SUMMARY OF THE INVENTION

A dynamic intelligent bidirectional optical access communication systemutilizes two critical optical modules: a phase modulator and anintensity modulator at an intelligent subscriber subsystem. Together,these two critical optical modules can reduce the Rayleighbackscattering effect on the propagation of optical signals.

The reduced Rayleigh backscattering effect can enable a longer-reachoptical access communication network (longer-reach than a currentlydeployed optical access communication network) between an intelligentsubscriber subsystem and a super node (e.g., many neighboring nodescollapsed into a preferred super node). Such a longer-reach opticalaccess communication network can eliminate significant costs related toa vast array of middle equipment (e.g., a router/switch), whichotherwise would be needed between a standard node (without a super nodeconfiguration) and a large number of remote nodes, according to acurrently deployed optical access communication network.

In one embodiment of the present invention, a bidirectional opticalaccess communication system can be configured to be capable of alonger-reach optical access communication network.

In another embodiment of the present invention, a bidirectional opticalaccess communication system can be configured to be capable ofdynamically providing wavelength on-Demand and/or bandwidth on-Demandand/or service on-Demand.

In another embodiment of the present invention, fabrication andconstruction of a wavelength tunable laser component/module isdescribed.

In another embodiment of the present invention, an optical signal can berouted to an intended destination securely by extracting an intendeddestination from a destination marker optical signal.

In another embodiment of the present invention, fabrication,construction and applications of an object are described.

In another embodiment of the present invention, an object cansense/measure/collect/aggregate/compare/map and connect/couple/interact(via one/more/all the networks as listed hereinafter:electrical/optical/radio/electromagnetic/sensor/biosensor communicationnetwork(s)) with another object, an intelligent subscriber subsystem andan intelligent appliance, utilizing internet protocol version 6 (IPv6)and its subsequent versions.

In another embodiment of the present invention, an intelligencerendering software module allows a subscriber subsystem toadapt/learn/relearn a user's interests/preferences/patterns, therebyrendering intelligence to a subscriber subsystem.

In another embodiment of the present invention, an intelligencerendering software module allows an appliance to adapt/learn/relearn auser's interests/preferences/patterns, thereby rendering intelligence toan appliance.

In another embodiment of the present invention, fabrication andconstruction of a near-field communication enabledmicro-subsystem/intelligent appliance is described.

In another embodiment of the present invention, a portfolio ofapplications (e.g., an intelligent, location based and personalizedsocial network and direct/peer-to-peer marketing) is also described.

The present invention can be better understood in the description belowwith accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a block diagram configuration of a bidirectionaloptical access communication network 100, according to one embodiment ofthe present invention.

FIG. 2 illustrates a block diagram configuration of a dynamicbidirectional optical access communication network 100, according toanother embodiment of the present invention.

FIG. 3 illustrates a block diagram fabrication and construction of anoptical processing micro-subsystem 360 (within an intelligent subscribersubsystem), according to another embodiment of the present invention.

FIG. 3A illustrates a block diagram fabrication and construction of awavelength tunable (narrowly) laser component, according to anotherembodiment of the present invention.

FIG. 3B illustrates a block diagram fabrication and construction of awavelength tunable (widely) laser array module, according to anotherembodiment of the present invention.

FIG. 4 illustrates a block diagram fabrication and construction of anintelligent subscriber subsystem 340, according to another embodiment ofthe present invention.

FIG. 5 illustrates a block diagram fabrication and construction of anobject 720, according to another embodiment of the present invention.

FIG. 6 illustrates a block diagram fabrication and construction of anintelligent appliance 880, according to another embodiment of thepresent invention.

FIG. 7 illustrates a method flow-chart of an intelligent, location basedand personalized social network, according to another embodiment of thepresent invention.

FIG. 8 illustrates a method flow-chart of intelligent, location basedand personalized direct marketing, according to another embodiment ofthe present invention.

FIG. 9 illustrates a method flow-chart of intelligent, location basedand personalized secure contactless (proximity) internet accessauthentication, according to another embodiment of the presentinvention.

FIG. 10 illustrates connections/couplings/interactions between theobject 720 (including with another object 720), the intelligentsubscriber subsystem 340 and the intelligent appliance 880, according toanother embodiment of the present invention.

FIG. 11 illustrates a method flow-chart enabling task execution by asoftware agent, according to another embodiment of the presentinvention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

FIG. 1 illustrates a block diagram configuration of a bidirectionaloptical access communication network 100, which includes a super node101, many distant local nodes 102 and many distant remote nodes 103. Thedistance between the super node 101 and the remote node 103 is greaterthan the distance between the super node 101 and the local node 102.However, many local nodes 102 can collapse/reside within the super node101 to enable a bidirectional optical access communication network 100,without a roadside electrical power requirement at the local node 102.

A bidirectional optical access communication network 100 isconnected/coupled/interacted with the super node 101, many local nodes102, many remote nodes 103 and a large number of intelligent subscribersubsystems 340 s (located at homes/businesses) over adispersion-compensated single-mode optical fiber 280. At the super node101, a number of laser modules (high power fast wavelengthswitching-wavelength tunable semiconductor laser modules are preferred)120 s provide a first set of downstream wavelengths, where eachdownstream wavelength is modulated at 10 Gb/s or higher Gb/s, by acorresponding intensity modulator module (anelectro-absorption/Mach-Zehnder intensity modulator module is preferred)140 to provide optical signals. These modulated downstream wavelengths(embedded with the optical signals) are combined by a wavelengthcombiner module 160 and amplified by an erbium-doped fiber amplifier(EDFA) module 220. These amplified downstream wavelengths are passedthrough a 3-port circulator module 260 and transmitted over thedispersion-compensated single-mode optical fiber (with a distributedRaman amplifier is preferred) 280 to the remote node 103. A distributedRaman amplifier can provide distributed amplification of the opticalsignal over the dispersion-compensated single-mode optical fiber 280 bynonlinear coupling/interaction between the optical signal and an opticalpump signal, thereby effectively increasing the reach of an opticalaccess communication network more than a currently deployed opticalaccess communication network. At the remote node 103, the modulateddownstream wavelengths from the super node 101, are decombined by anintegrated wavelength combiner/decombiner module 300, filtered by abandpass optical filter module (a wavelength switching-wavelengthtunable bandpass optical filter module is preferred) 240, are powersplit by an integrated optical power combiner/decombiner module 320 andare transmitted to a number of intelligent subscriber subsystems 340 s.However, all the optical modules at the remote node 103 must betemperature insensitive to operate within a wide temperature range atthe remote node 103, as there may not be an option of an electricalpower at the remote node 103. The downstream wavelengths from the supernode 101 to the number of intelligent subscriber subsystems 340 s can betransmitted and correspondingly received by photodiode modules 200 s atthe intelligent subscriber subsystems 340 s, utilizing a time divisionmultiplexed statistical bandwidth allocation and/or a broadcastingmethod.

The local node 102 includes the laser module 120, which isconnected/coupled/interacted with the erbium-doped fiber amplifier(EDFA) module 220 to provide an upstream wavelength from the intelligentsubscriber subsystems 340 s, which is offset in wavelength with respectto the first set of downstream wavelengths generated at the super node101. The upstream wavelength power splits through the integrated opticalpower combiner/decombiner module 320 at the remote node 103 and istransmitted to the number of intelligent subscriber subsystems 340 s forfurther optical processing by an optical processing micro-subsystem 360.An optically processed upstream wavelength (embedded with the opticalsignals) by the optical processing micro-subsystem 360 (within theintelligent subscriber subsystem 340) is looped/returned back throughthe integrated optical power combiner/decombiner module 320, thebandpass optical filter module 240 and the integrated wavelengthcombiner/decombiner module 300 at the remote node 103. The opticallyprocessed upstream wavelength is transmitted over thedispersion-compensated single-mode optical fiber 280 and passed throughthe 3-port circulator module 260 at the super node 101. The 3-portcirculator module 260 provides the upstream wavelengths from a number ofintelligent subscriber subsystems 340 s to the bandpass optical filter240, the erbium-doped fiber amplifier (EDFA) module 220, the wavelengthdecombiner module 180, a number of external fiber-optic interferometermodules 180As (to convert a phase modulation signal into an intensitymodulation signal) and the photodiode modules 200 s at the super node101, wherein each photodiode module 200 is detecting the distinctupstream wavelength. Furthermore, each photodiode module 200 includesone or more of the following optical/electronic components: a 10 Gb/s orhigher Gb/s linear photodiode chip, a 10 Gb/s or higher Gb/smesa-type/waveguide-type avalanche photodiode chip (APD), a 10 Gb/s orhigher Gb/s burst-mode transimpedance amplifier, a 10 Gb/s or higherGb/s clock and data recovery (CDR), the bandpass optical filter 240 anda semiconductor optical amplifier 380 (if the semiconductor opticalamplifier 380 is needed for optical gain in conjunction with a 10 Gb/sor higher Gb/s linear photodiode chip). The upstream wavelength from anumber of intelligent subscriber subsystems 340 s to the super node 101can be transmitted and correspondingly received by the photodiodemodules 200 s at the super node 101, utilizing a time divisionmultiplexed statistical bandwidth allocation and/or a broadcastingmethod.

FIG. 2 illustrates a block diagram configuration of a dynamicbidirectional optical access communication network 100, where anywavelength to the intelligent subscriber subsystem 340 can bedynamically varied on-Demand by utilizing an M:M cyclic wavelengtharrayed waveguide grating router module (a fast wavelengthswitching-wavelength tunable programmable M:M cyclic wavelength arrayedwaveguide grating router module is preferred) 250 at the remote node103. All possible switched output downstream wavelengths are arranged atthe M outputs of the M:M cyclic wavelength arrayed waveguide gratingrouter module 250 because of the free spectral range periodic propertyof the M:M cyclic wavelength arrayed waveguide grating router module.This configuration offers the flexibility of dynamicallyrouting/delivering one or more downstream wavelengths with differentmodulation rates (e.g., 10 Gb/s or higher Gb/s) provided by thecorresponding intensity modulator module 140, to the intelligentsubscriber subsystem 340 for wavelength on-Demand, bandwidth on-Demandand service on-Demand, significantly increasing a return on investment.Thus, each dynamically routed wavelength with a specific modulation ratecan provide a distinct bandwidth-specific service on-Demand (e.g., anultra-high definition movie on-Demand) to the specific intelligentsubscriber subsystem 340.

A method of providing bandwidth-specific service on-Demand can berealized by including at least the steps: (a) the user requesting aspecific service (e.g., an ultra-high definition movie on-Demand) at thespecific intelligent subscriber subsystem 340, (b) delivering thespecific service over a wavelength by the laser module 120 from thesuper node 101, (c) modulating the wavelength at a required modulationrate (e.g., 10 Gb/s or higher Gb/s) by the intensity modulator module140 at the super node 101 and (d) then dynamically routing the saidwavelength (embedded with the user requested specific service) by theM:M cyclic wavelength arrayed waveguide grating router module 250 at theremote node 103 and to the specific intelligent subscriber subsystem340.

Furthermore, rapid wavelength routing (in space, wavelength and time) bythe M:M cyclic wavelength arrayed waveguide grating router module 250can be fabricated/constructed as an optical packet/interconnect routerbetween many printed circuit boards/integrated circuits/processors.

Additionally, outputs of the M:M cyclic wavelength arrayed waveguidegrating router module 250 at the remote node 103 can beconnected/coupled/interacted with inputs of a large-scale N:N (e.g., a1000:1000) micro-electrical-mechanical-system space switch module at theremote node 103 to provide much greater flexibility of wavelengthrouting.

An input-output echelle grating module and/or a negative-index photoniccrystal super-prism module can be utilized as alternatives to thewavelength combiner module 160, the wavelength decombiner module 180 andthe integrated wavelength combiner/decombiner module 300. A multi-modeinterference (MMI) module and/or a Y-combiner module can be utilized asalternatives to the integrated optical power combiner/decombiner module320 and the optical power combiner module 320A.

FIG. 3 illustrates a block diagram construction of the opticalprocessing micro-subsystem 360, wherein a downstream wavelength ispassed through the 3-port circulator 260, the bandpass optical filtermodule 240 and the photodiode module 200. A wavelength from the lasermodule 120 at the local node 102 is passed through the 3-port circulatormodule 260 within the optical processing micro-subsystem 360 and thiswavelength is amplified by the semiconductor optical amplifier module380, modulated in phase by a phase modulator module 400, modulated at abit-rate (e.g., 10 Gb/s or higher Gb/s, but a variable modulationbit-rate is preferred) in intensity by an intensity modulator module420, amplified by the semiconductor optical amplifier module 380,transmitted through a variable optical intensity attenuator module 440(if needed) and looped/returned back to create the upstream wavelength(embedded with an optical signal from the intelligent subscribersubsystem 340) and transmitted to the super node 101.

Furthermore, the generic intensity modulator module 140 can be replacedby an electro-absorption intensity modulator module 420, which isdesigned for integration with the semiconductor optical amplifier module380, the phase modulator module 400 and the variable optical intensityattenuator module 440 on a monolithic photonic integrated circuit (PIC)and/or an active-passive hybrid planar lightwave circuit (PLC)technology.

Numerous permutations (e.g., modulating a CW optical signal from thelaser module 120 at the local node 102 by the intensity modulator140/420 and then by the phase modulator 400) of all optical moduleswithin the optical processing micro-subsystem 360 are possible to createoptimum quality of the upstream wavelength for an intended reach. Use ofthe phase modulator module 400 and the intensity modulator module 420together can reduce the Rayleigh backscattering effect on thepropagation of optical signals, enabling a longer-reach optical accesscommunication network between the super node 101 and the remote node103, thus eliminating a vast array of middle equipment such as routersand switches, which would otherwise be needed between a standard node(without the super node configuration) and a large number of the remotenodes 103 s, according to a currently deployed optical accesscommunication network.

According to another embodiment of the present invention, an upstreamsecond set of wavelengths (which are offset in wavelengths with respectto the first set of wavelengths transmitted from the super node 101) canbe internally generated by a wavelength tunable laser module within theintelligent subscriber subsystem 340, without the need for externalwavelength generation by the laser module 120 at the local node 102.Generation of the upstream wavelength (fast switching-widely tunablelaser module is preferred) within the intelligent subscriber subsystem340 simplifies fabrication and construction of a dynamic bidirectionaloptical access communication network 100.

According to another embodiment of the present invention, asingle-mode/mode-hopp free wavelength tunable (about 32 nm) laser modulecan be constructed by utilizing an ultra-low anti-reflection coated(both facets) semiconductor optical amplifier (a quantum dotsemiconductor optical amplifier is preferred) and a triple-ringresonator waveguide on a planar lightwave circuit platform. The frontfacet of the triple-ring resonator waveguide has an ultra-lowanti-reflection coating, while the back facet of that has ahigh-reflection coating. The anti-reflection coated back facet of thesemiconductor optical amplifier and the anti-reflection coated frontfacet of the triple-ring resonator waveguide are intimately attached(“butt-coupled”) to each other. The phases of a triple-ring resonatorwaveguide can be controlled by a metal strip heater along a straightsegment of the triple-ring resonator waveguide. Furthermore, thesemiconductor optical amplifier 380 can be monolithically integratedwith the electro-absorption (EAM)/Mach-Zehnder intensity modulator.

FIG. 3A illustrates a block diagram fabrication and construction of asingle-mode/mode-hopp free wavelength tunable (narrow) laser component,including an electro-absorption modulator segment 400 (about 150 micronslong), which can be integrated (“butt-coupled”) with the back facet of aλ/4 phase shifted DR laser (λ/4 phase shifted distributed feed back(DFB) section (about 400 microns long)+phase control section (withoutany gratings/about 50 microns long)+distributed Bragg reflector (DBR)section (about 50 microns long)) 120A. Laser multi-quantum-well (MQW)layers can be stacked on top of electro-absorption intensity modulatormulti-quantum-well layers. An electro-absorption intensity modulator canbe processed by etching away the laser multi-quantum-well layers. Higherlaser output (exit power) can be achieved by incorporating distributedphase shifts and/or chirped grating across the length of a distributedfeedback section. An injection current to a phase control section canproduce a change in distributed feed back laser wavelength.Reverse-voltage to the electro-absorption intensity modulator 420 canchange in a refractive index by Quantum Confined Stark Effect (QCSE).The advantages of this tunable laser design are (1) high single-modestability due to a distributed feed back section, (2) higher output(exit) power due to a distributed Bragg reflector section and (3) rapidwavelength tuning by an injection current to a phase control sectionand/or reverse voltage to the electro-absorption intensity modulator420.

A stacked multi-quantum well cross-sectional layer design of theelectro-absorption modulator with the DR laser is illustrated in Table 1below.

TABLE 1 Composition Bandgap Thickness N-/P- Doping In(1 − x)Ga(x)Wavelength Strain Material (nm) (10{circumflex over ( )}18/cm{circumflexover ( )}3) As(y)P(1 = y) (nm) (%) Index Substrate 100 × 10{circumflexover ( )}3 N 3.0 X = 0.000 918.6 0 3.1694 Y = 0.000 Buffer  1 ×10{circumflex over ( )}3 N 1.0 X = 0.000 918.6 0 3.1694 Y = 0.000 1.15Q70 N 0.5 X = 0.181 1150 0 3.3069 Y = 0.395 1.20Q 50 N 0.5 X = 0.216 12000 3.3345 Y = 0.469 1.10Q 10 N 0.001 X = 0.145 1100 0 3.2784 Y = 0.317EAM Well-1 8 N 0.001 X = 0.463 1550 TS0.2 3.5533 Y = 0.930 1.10Q 6 N0.001 X = 0.145 1100 0 3.2784 Y = 0.317 EAM Well-2 8 N 0.001 X = 0.4631550 TS0.2 3.5533 Y = 0.930 1.10Q 6 N 0.001 X = 0.145 1100 0 3.2784 Y =0.317 EAM Well-3 8 N 0.001 X = 0.463 1550 TS0.2 3.5533 Y = 0.930 1.10Q 6N 0.001 X = 0.145 1100 0 3.2784 Y = 0.317 EAM Well-4 8 N 0.001 X = 0.4631550 TS0.2 3.5533 Y = 0.930 1.10Q 6 N 0.001 X = 0.145 1100 0 3.2784 Y =0.317 EAM Well-5 8 N 0.001 X = 0.463 1550 TS0.2 3.5533 Y = 0.930 1.10Q 6N 0.001 X = 0.145 1100 0 3.2784 Y = 0.317 EAM Well-6 8 N 0.001 X = 0.4631550 TS0.2 3.5533 Y = 0.930 1.10Q 10 N 0.001 X = 0.145 1100 0 3.2784 Y =0.317 Stop-Etch 50 N 0.001 X = 0.000 918.6 0 3.1694 Y = 0.000 *1.25Q 10N 0.001 X = 0.239 1250 0 3.3588 Y = 0.533 *DR Well-1 5 N 0.001 X = 0.2391642 CS1.05 3.4971 Y = 0.839 *1.25Q 10 N 0.001 X = 0.239 1250 0 3.3588 Y= 0.533 *DR Well-2 6 N 0.001 X = 0.239 1642 CS1.05 3.4971 Y = 0.839*1.25Q 10 N 0.001 X = 0.239 1250 0 3.3588 Y = 0.533 *DR Well-3 5 N 0.001X = 0.239 1642 CS1.05 3.4971 Y = 0.839 *1.25Q 10 N 0.001 X = 0.239 12500 3.3588 Y = 0.533 *DR Well-4 6 N 0.001 X = 0.239 1642 CS1.05 3.4971 Y =0.839 *1.25Q 10 N 0.001 X = 0.239 1250 0 3.3588 Y = 0.533 *1.20Q 50 P0.2 X = 0.216 1200 0 3.3345 Y = 0.469 **Grating: 50 P 0.2 X = 0.181 11500 3.3069 1.15Q Y = 0.395 Cladding  1.5 × 10{circumflex over ( )}3 P0.2~P 2.0 X = 0.000 918.6 0 3.1694 Y = 0.000 1.30Q 50 P 5.0 X = 0.2801300 0 3.3871 Y = 0.606 Cap 200 P 30 X = 0.468 1654 0 3.5610 Y = 1.000EAM: Electro-absorption modulator DR: Laser TS: Tensile CS: Compressive*These laser layers must be removed in EAM section and bereplaced/re-grown with InP layer of total thickness of ~172 nm. **λ/4phase shifted gratings (at the DFB section of DR laser) are fabricatedon this layer with 50% duty cycle at 40 nm grating etch depth.

FIG. 3B illustrates a block diagram fabrication and construction of asingle-mode/mode-hopp free wavelength tunable (widely) laser array,which can be integrated with the wavelength combiner 160 or theY/multi-mode interference optical power combiner 320A, the tilted/curvedsemiconductor optical amplifier 380, the phase modulator 400 (ifneeded), the intensity modulator 140/420 and the tilted/curvedsemiconductor optical amplifier 380 via a waveguide 280A/single-modefiber 280. The back facet of the electro-absorption modulator segment400 has a low anti-reflection coating, while the front facet of the lastoptical amplifier 380 has an ultra-low anti-reflection coating. Theupstream wavelength (embedded with an optical signal) generatedutilizing the tunable laser module at the intelligent subscribersubsystem 340, is passed through the 3-port circulator module 260 at theremote node 103 and transmitted to the super node 101. The downstreamwavelength from the super node 101, is passed through the 3-portcirculator 260, the bandpass optical filter module 240 and thephotodiode module 200 at the remote node.

According to another embodiment of the present invention, a subset of asecond set of wavelengths (which are offset in wavelengths with respectto a first set of wavelengths transmitted from the super node 101) canbe modulated at a bit-rate (e.g., 10 Gb/s or higher Gb/s, but a variablemodulation bit-rate is preferred) and thus configured to be shared witha number of intelligent subscriber subsystems 340 s to generate asymmetric upstream bandwidth/bandwidth on-Demand.

Both downstream and upstream wavelengths can be protected by a 2×2optical protection switch module and separated via an opticalring-network including redundant/multiple dispersion-compensatedsingle-mode optical fibers 280s.

A pilot tone modulation can be added to the semiconductor opticalamplifier module 380 within the optical processing micro-subsystem 360(within the intelligent subscriber subsystem 340) and to the lasermodules 120 s (at the super node 101 and the local node 102) to reducethe Rayleigh backscattering effect.

An electronic dispersion compensation circuit and a forward errorcorrection circuit can be added to relax the specifications of theoptical and/or electronic modules. Furthermore, all optical single-modefibers can be polished at an angle (about 7 degree) to reduce anyoptical back-reflection.

According to another embodiment of the present invention, an upstreamwavelength may be shared/transmitted by a number of the intelligentsubscriber subsystems 340 s, utilizing a time division multiplexedstatistical bandwidth allocation method. Therefore, a burst modereceiver circuit is needed at the super node 101 to process burstyoptical signals embedded in the upstream wavelengths from a number ofthe intelligent subscriber subsystems 340 s.

Furthermore, to enable higher bit-rate, a modulator/demodulator of anadvanced modulation format (e.g., differential quadratic phase-shiftkeying-DQPSK and/or quadratic amplitude modulation-QAM) can be utilized.

FIG. 4 illustrates a block diagram fabrication and construction of theintelligent subscriber subsystem 340, according to another embodiment ofthe present invention, wherein the intelligent subscriber subsystem 340includes the optical processing micro-subsystem 360 (for separating andproviding the downstream wavelength to the photodiode module 200 andoptically processing the upstream wavelength to the super node 101). Thephotodiode module 200 within the optical processing micro-subsystem 360is connected/coupled/interacted with an optical-to-electrical amplifiercircuit 460 and a media access controller (with processing, routing andquality of service (QoS) functions) module and module specific software480. The media access controller module and module specific software 480are connected/coupled/interacted with one or more of the following: (a)an IP/micro IP/light weight IP address module and module specificsoftware 500, (b) a security module (an internetfirewall/spyware/user-specific security control/authentication) andmodule specific software 520, (c) an in-situ/remote diagnostic moduleand module specific software 540, (d) a content transfer module andmodule specific software 560, (e) a time-shift (time-shift is arecording of content to a storage medium for consuming at a later time)module and module specific software 580, (f) a place-shift (place-shiftis consuming stored content on a remoteappliance/subsystem/system/terminal via the internet) module and modulespecific software 600, (g) a content (voice-video-multimedia-data)over-IP module and module specific software 620, (h) a radio module(with antenna(s)), wherein the radio module includes one or more of thefollowing modules: RFID (active/passive), Wibree, Bluetooth, Wi-Fi,ultra-wideband, 60-GHz/millimeter wave, Wi-Max/4G/higher frequency radioand an indoor/outdoor position module (e.g., Bluetooth, Wi-Fi, GPS andan electronic compass) and module specific software 640, (i) a softwaremodule 700, which includes one or more of the following: embedded/cloudbased operating system software and embedded/cloud based intelligencerendering software (e.g., surveillance software, behavior modeling(e.g., www.choicestream.com), predictive analytics/text/data/patternmining/natural language algorithm (e.g., www.sas.com), a fuzzylogic/artificial intelligence/neural network algorithm (e.g.,www.nd.com/bliasoft.com), machine learning/iterativelearn-by-doing/natural learning algorithm (e.g., www.saffron.com) and anintelligent agent (e.g., www.cougaarsoftware.com)), (j) a memory/storagemodule and module specific software 780, (k) a sensor module and modulespecific software 820 and (l) a battery/solar cell/micro fuel-cell/wiredpower supply module and module specific software 840.

Furthermore, a System-on-a-Chip (SoC), integrating a processor moduleand module specific software 760 with a graphic processor module, aninternet firewall, spyware and the user-specific securitycontrol/authentication can simplify fabrication and construction of theintelligent subscriber subsystem 340.

The intelligent subscriber subsystem 340 includes a set top box/personalvideo recorder/personal server component/module. The intelligentsubscriber subsystem 340 includes a voice-to-text-to-voice processingmodule and module specific software. (e.g., Crisp Sound is real-timeaudio signal processing software for echo cancellation, background noisereduction, speech enhancement and equalization), a video compressionmodule and module specific software, a photo-editing software module anda software module for automatically uploading content to a preferredremote/cloud server.

The intelligent subscriber subsystem 340 has multiple radio modules withmultiple antennas. A tunable radio-frequency carbon nanotube (CNT)cavity can tune in between 2 GHz and 3 GHz. The merger of many antennas,utilizing a tunable carbon nanotube cavity and an analog/digitalconverter can enable a simplified software-defined radio.

The intelligent subscriber subsystem 340 can enable content over-IP,(e.g., Skype service) thus disrupting a traditional carrier controlledfixed telephony business model.

According to another embodiment of the present invention, the securedelivery of a content optical signal to an intended destination can beachieved by utilizing a low bit-rate destination marker optical signal,which is modulated at a different plane with a different modulationformat, simultaneously in conjunction with a higher-bit rate contentoptical signal. The low bit-rate destination marker optical signal isextracted and converted from an optical domain to an electrical domainto determine the intended destination of the content optical signal,while the content optical signal remains in an optical domain until itis delivered to the intended destination—thus both routing and securityin the delivery of the content optical signal can be significantlyenhanced.

FIG. 5 illustrates a block diagram fabrication and construction of amicrosized (about 15 mm³) object 720, having a processor (e.g.,ultra-lower power consumption ARMCortex™-M3/microcontroller-www.ambiqmicro.com/based on nanoscaled InAsXOI) module and module specific software 760 that isconnected/coupled/interacted with one or more of the following: (a) anIP/micro IP/light weight IP address module and module specific software500, (b) a software module 700 (e.g., a Tiny OS-operating system/IBMmote runner), (c) an “object specific” radio module with antenna(s)(which includes one or more of the following: RFID (active/passive), anultra-low power radio, Wibree, Bluetooth and near-field communication740, (d) a memory/storage module and module specific software 780, (e) acamera module (a micro-electrical-mechanical-system based camera ispreferred) and module specific software 800, (f) a sensor (e.g., a radioenabled micro-electro-mechanical sensor) module and module specificsoftware 820 and (g) a battery/solar cell/micro fuel-cell wired powersupply/wired power supply module and module specific software 840.

A battery/solar cell (e.g., silicon)/micro fuel-cell/wired powersupply/resonant electromagnetic inductive coupling energy transfer(wireless) power supply module and module specific software 840 caninclude a thick/thin film (e.g., 3.6V-12μAh Cymbet thin-film lithiumbattery) printed/three-dimensional/nano-engineered battery (e.g.,cellulose-a spacer ionic liquid electrolyte, electricallyconnected/coupled/interacted with a carbon nanotube electrode and alithium oxide electrode), a nano supercapacitor (e.g., utilizing carbonnanotube ink or operating due to fast ion transport at a nanoscale), anano-electrical generator of piezoelectric PZT nanowires (e.g., 20,000n-/p-type zinc oxide nanowires can generate about 2 mW), anano-electro-mechanical systems (NEMS) cell (e.g., a motor protein cell)and a microbial nano fuel-cell.

A motor protein (macromolecule) named prestin, which is expressed inouter hair cells in the organ of Corti of a human ear and is encoded bythe SLC26A5 gene. Prestin converts an electrical voltage into a motionby elongating and contracting outer hair cells. This motion amplifiessound in a human ear. However, prestin can work in a reverse mode,producing an electrical voltage in response to a motion. To increaseconductivity, a microbe (e.g., a bacterium Pili) can act as a conductingnanowire to transfer electrons generated by prestin. Each prestin cellis capable of making only nano watts of electricity. A prestin cell(array of prestins connected/coupled/interacted between two electrodes)can electrically charge a battery/micro fuel-cell/wired power supplymodule. A prestin cell can grow and self-heal, as it is constructed frombiological components. Furthermore, a nano-electrical generator ofpiezoelectric PZT nanowires can be integrated with prestin.

A memristor component can replace both the processor component and/orthe memory/storage component. Furthermore, a memristor component and anano-sized radio component can reduce power consumption of the object720.

A sensor module and module specific software 820 can include a biosensor(e.g., to monitor/measure body temperature, % oxygen, heart rhythm,blood glucose concentration and a biomarker for a disease parameter).

The object 720 with a biosensor, a transistor, a light emitting diode, anano-sized radio, a prestin cell (for electrical power) and an objectspecific software can be incorporated onto a support material (e.g., asilk membrane) to monitor/measure (and transmit) a disease parameter.

Another example of a biosensor sensor can be an assassin protein(macromolecule) perforin, the immune system's weapon of massdestruction. Perforin is encoded by the PRF1 gene. Perforin is expressedin T cells and natural killer (NK) cells. Interestingly, perforinresembles a cellular weapon employed by a bacterium (e.g., anthrax).Perforin has an ability to embed itself to form a pore in a cellmembrane. The pore by itself may be damaging to a cell and it enablesthe entry of a toxic enzyme granzyme B, which induces apoptosis (aprogrammed suicide process) of a diseased cell. However, perforinoccasionally misfires—killing the wrong cell (e.g., an insulin producingpancreas) and significantly accelerating a disease like diabetes.Defective perforin leads to an upsurge in cancer malignancy (e.g.,leukemia). Up regulation of perforin can be effective against cancerand/or an acute viral disease (e.g., cerebral malaria). Down regulationof perforin can be effective against diabetes. The ramification of apore-forming macromolecule like perforin is enormous, if it can betailored/tuned to a specific disease.

Like perforin, ultrasonically guided microbubbles can break into a cellmembrane. A pore-forming microbubble (ultrasonically guided)/nanovessel(e.g., a cubisome/liposome) encapsulating a suitablechemical(s)/drug(s), a surface modified red fluorescent protein (e.g.,E2-Crimson) and perforin (if needed) can be an effective imaging/drugdelivery method. A surface coating (e.g., a pegylation) on themicrobubble/nano vessel can avoid the immune surveillance of a humanbody. A surface coating of disease-specific ligand (e.g., an antibody)on a microbubble/nano-vessel can enhance the targeting to specificdisease cells. Furthermore, an encapsulation of magneticsuper-paramagnetic nano-particles within a microbubble/nano-vessel cansignificantly enhance the targeting to specific disease cells, when itis guided by a magnet. The microbubbles/nano-vessels can be incorporatedwithin a silicone micro catheter (coated with silver nanoparticles) tubeor a micro-electrical-mechanical-system reservoir/micropump (integratedwith an array of silicon microneedles) on a support material.

For utilizing the object 720 within and/or on a human body, allcomponents must be biocompatible (bio dissolvable is preferred).

If a disease parameter measurement is perceived to be abnormal withrespect to a reference disease parameter measurement, a biosensor moduleconnects/couples/interacts with the object 720 for a programmed drugdelivery. Furthermore, the object 720 can connect/couple/interact (viaone/more/all the networks as listed hereinafter:electrical/optical/radio/electromagnetic/sensor/biosensor communicationnetwork(s)) with another object 720, the intelligent subscribersubsystem 340 and/or an intelligent appliance 880 for locationbased/assisted emergency help without human input.

The object 720 can be fabricated and constructed, utilizing aSystem-on-a-Chip/System-in-a-Package (SiP)/multi-chip module.

The object 720 can sense/measure/collect/aggregate/compare/map andconnect/couple/interact/share (via one/more/all the networks as listedhereinafter: electrical/optical/radio/electromagnetic/sensor/biosensorcommunication network(s)) with another object 720), the intelligentsubscriber subsystem 340 and the intelligent appliance 880, utilizinginternet protocol version 6 (IPv6) and its subsequent versions.

A method of securing information by the object 720, includes at leastthe following steps: (a) sensing 900, (b) measuring 920, (c) collecting940, (d) aggregating/comparing/mapping 960, (e)connecting/coupling/interacting/sharing 980 (in real-time) with theplurality of objects 720 s, intelligent subscriber subsystems 340 s andintelligent appliances 880 s, (f) developing a learning algorithm (e.g.,a machine learning/iterative learn-by-doing/natural learning algorithmin a software module 700) 1300 from the activities of the plurality ofobjects 720 s, intelligent subscriber subsystems 340 s and intelligentappliances 880 s, (g) utilizing a learning algorithm 1320 and (h)re-iterating all the previous steps from (a) to (g) in a loop cycle 1340to enable intelligent decision based on information from the pluralityof objects 720 s, the intelligent subscriber subsystems 340 s and theintelligent appliances 880 s.

FIG. 6 illustrates a block diagram fabrication and construction of theintelligent appliance (about 125 mm long, 75 mm wide and 20 mm thick)880, according to another embodiment of the present invention. Aprocessor (performance at a lower electrical power consumption isdesired e.g., graphene based processor) module and module specificsoftware 760 are connected/coupled/interacted (via one/more/all thenetworks as listed hereinafter:electrical/optical/radio/electromagnetic/sensor/biosensor communicationnetwork(s) with another intelligent appliance) with one or more of thefollowing: (a) an IP/micro IP/light weight IP address module and modulespecific software 500, (b) a security module (an internetfirewall/spyware/user-specific security control/authentication) andmodule specific software 520, (c) an in-situ/remote diagnostic moduleand module specific software 540, (d) a content transfer module andmodule specific software 560, (e) a time-shift module and modulespecific software 580, (f) a place-shift module and module specificsoftware 600, (g) a content (voice-video-multimedia-data) over-IP moduleand module specific software 620, (h) a radio module (with antenna(s)),wherein the radio module includes one or more of the following modules:RFID (active/passive), Wibree, Bluetooth, Wi-Fi, ultra-wideband,60-GHz/millimeter wave, Wi-Max/4G/higher frequency radio and anindoor/outdoor position module (e.g., Bluetooth, Wi-Fi, GPS and anelectronic compass) and module specific software 640, (i) anone-dimensional/two-dimensional barcode/quick response (QR) codescanner/reader module and module specific software 660, (j) a near-fieldcommunication module (with an antenna) and module specific software 680,(k) a software module 700, which includes one or more of the following:embedded/cloud based operating system software and embedded/cloud basedintelligence rendering software (e.g., surveillance software, behaviormodeling (e.g., www.choicestream.com), predictiveanalytics/text/data/pattern mining/natural language algorithm (e.g.,www.sas.com), a fuzzy logic/artificial intelligence/neural networkalgorithm (e.g., www.nd.com/bliasoft.com), machine learning/iterativelearn-by-doing/natural learning algorithm (e.g., www.saffron.com) and anintelligent agent (e.g., www.cougaarsoftware.com)), (l) a memory/storagemodule and module specific software 780, (m) a camera (a 180degree-angle rotating camera module is preferred) and module specificsoftware 800, (n) a sensor module and module specific software 820, (o)a battery/solar cell/micro fuel-cell/wired power supply module andmodule specific software 840 and (p) a display (foldable/stretchablewith a touch sensor is preferred) module and module specific software860. An intelligent appliance 880 includes a socket (e.g., SIM/SD).

Furthermore, a System-on-a-Chip, integrating a processor module andmodule specific software 760 with a graphic processor module, internetfirewall, spyware and the user-specific security control/authenticationcan simplify construction and fabrication of the intelligent appliance880.

Furthermore, a super-capacitor (manufactured by www.cap-xx.com) and/orproton exchange membrane micro fuel-cell can enhance the operationaltime of a battery/solar cell/micro fuel-cell/wired power supplycomponent.

A foldable/stretchable display component can be constructed from agraphene sheet and/or an organic light-emitting diodeconnecting/coupling/interacting with a printed organic transistor and arubbery conductor (e.g., a mixture of carbon nanotube/gold conductor andrubbery polymer) with a touch/multi-touch sensor.

The intelligent appliance 880 includes a voice-to-text-to-voiceprocessing module and module specific software. (e.g., Crisp Sound isreal-time audio signal processing software for echo cancellation,background noise reduction, speech enhancement and equalization), avideo compression module and module specific software, a photo-editingsoftware module and a software module for automatically uploadingcontent to a preferred remote/cloud server.

The intelligent appliance 880 can be much thinner than 20 mm, if boththe display and battery components are thinner.

A thinner photonic crystal display component can be fabricated andconstructed as follows: optically pumping different-sized photoniccrystals, whereas the photonic crystals can individually emit blue,green and red light based on their inherent sizes. Optical pumping canbe generated from optical emission by electrical activation ofsemiconductor quantum-wells. Blue, green and red light can be thenmultiplexed/combined to generate white light.

A thinner organic battery component can be fabricated and constructed asfollows: an organic battery utilizes push-pull organic molecules,wherein after an electron transfer process, two positively chargedmolecules are formed which are repelled by each other like magnets. Byinstalling a molecular switch, an electron transfer process can proceedin the opposite direction. Thus, forward and backward switching of anelectron flow can form the basis of an ultra-thin, light weight andpower efficient organic battery.

The intelligent appliance 880 can be integrated with a miniaturesurround sound (e.g., a micro-electrical-mechanical-system based siliconmicrophone component-Analog ADMP 401 or an equivalent component fromwww.akustica.com) module and module specific software, a miniature powerefficient projection (e.g., a holographic/micromirror projector) moduleand module specific software, an infrared transceiver module and modulespecific software and a biometric sensor (e.g., a fingerprint/retinalscan) module and module specific software.

A projection module can be miniaturized by utilizing one tilt-able 1 mmdiameter single crystal mirror. The mirror deflects a laser (blue, greenand red) beam by rapidly switching its angle of orientation, building upa picture pixel by pixel.

An array of (at least four) front-facing cameras can provide stereoviews and motion parallax (apparent difference in a direction ofmovement produced relative to its environment). Each camera can create alow dynamic range depth map. However, an array of cameras can create ahigh dynamic range depth map; thus, the intelligent appliance 880 canenable three-dimensional video conferencing.

The intelligent appliance 880 has multiple radio modules with multipleantennas. These multiple radio modules with multiple antennas can besimplified by a software-defined radio.

Augmented reality allows computer-generated content to be superimposedover a live camera-view in the real world. The intelligent appliance 880can be integrated with an augmented reality to enrich the user'sexperience and need.

The intelligent appliance 880 can acquire information on abarcode/RFID/near-field communication tag on a product by utilizing itsradio module. The intelligent appliance 880 is aware of its location viaits indoor/outdoor position module (within the radio module and modulespecific software 640) and it can search for a price/distributionlocation. Thus, the intelligent appliance 880 can enable a real-worldphysical search.

The intelligent appliance 880 can enable content over-IP (e.g., Skypeservice) via an ambient Wi-Fi/Wi-Max network, thus disrupting thetraditional carrier controlled cellular business model.

Near-field communication has a short range of about 35 mm-making it anideal choice for a contact-less (proximity) application. A near-fieldcommunication module (with an antenna) and module specific software 680can allow the user to learn/exchange/transfer/share/transact in acontactless (proximity) application in real-time. A standalonenear-field communication enabled micro-subsystem (e.g., a SD/SIM cardform factor) can integrate an IP/micro IP/light weight IP address moduleand module specific software 500, the storage/memory module and modulespecific software 780, the near-field communication module (with anantenna) and module specific software 680 and the software module 700.To exchange/transfer/share/transact content, the radio module and modulespecific software 640 can be integrated with a standalone near-fieldcommunication enabled micro subsystem. To enhance the security of thestandalone near-field communication enabled micro-subsystem, the sensormodule (e.g., a 0.2 mm thick fingerprint sensor component (manufacturedby Seiko Epson) reads an electric current on the user's finger tipcontact or a sensor component is uniquely synchronized with anothersensor component) and module specific software 820 can be integrated.Furthermore, an advanced biometric (fingerprint) sensor module can befabricated/constructed by combining a silica colloidal crystal withrubber, wherein the silica colloidal crystal can be dissolved in dilutehydrofluoric (HF) acid-leaving air voids in the rubber, thus creating anelastic photonic crystal. An elastic photonic crystal emits an intrinsiccolor, displaying three-dimensional shapes of ridges, valleys and poresof a fingerprint, when pressed. The processor module and module specificsoftware 760 can be utilized to compare with the user's captured/storedfingerprint data. Non-matching fingerprint data would render thestandalone near-field communication enabled micro-subsystem unusable incase of an abuse/fraud/theft.

Five critical contactless (proximity) applications are: (a)product/service discovery/initiation, (b) peer-to-peerexchange/transfer/share/transaction, (c) machine-to-machineexchange/transfer/share/transaction, (d) remote access of anappliance/subsystem/system/terminal and (e) access authentication.

Product/Service Discovery/Initiation

The standalone near-field communication enabled micro-subsystem, incontactless proximity of another near-field communication enabledappliance/subsystem/system/terminal, receives a URL (web site) to (a)provide information about a product/service, (b) receive direct and/orpeer-to-peer marketing (e.g., coupon/advertisement/promotion/brandloyalty program) and (c) monitor/measure the effectiveness of amarketing campaign.

Peer-to-Peer Exchange/Transfer/Share/Transaction

The user can share social network/businessprofile/microloan/microcontent in contactless proximity of thenear-field communication enabled appliance/subsystem/system/terminal ofanother user.

Machine-to-Machine Exchange/Transfer/Share/Transaction

The user can transact money/microloan/microcontent in contactlessproximity of a near-field communication enabledappliance/subsystem/system/terminal.

An example, the standalone near-field communication enabledmicro-subsystem can enable printing a stored photo, in contactlessproximity of a near-field communication enabled printer and displaying astored movie, in contact-less proximity of a near-field communicationenabled TV.

A near-field communication enabled TV can be fabricated and constructedsimilarly to the intelligent appliance 880.

Another example, the standalone near-field communication enabledmicro-subsystem can enable purchasing a travel ticket, in contactlessproximity of a near-field communication enabled ticketappliance/subsystem/system/terminal. Such a ticket can be verifiedand/or located by an indoor position module without need of human input.

Another example, a near-field communication enabled a printer moduleintegrated with an electro-mechanical weighing module, anelectro-mechanical postage dispensing module and a software module forcalculating the postage price based on weight, distance, priority leveland delivery method can enable purchasing postage efficiently.

Remote (Appliance/Subsystem/System/Terminal) Access

The user's profile, bookmarks, address book, preferences, settings,applications and contents of an appliance/subsystem/system/terminalcould be stored securely in the standalone near-field communicationenabled micro-subsystem, in contactless proximity of a near-fieldcommunication enabled appliance/subsystem/system/terminal, it will loadan original version of the user's profile, bookmarks, address book,preferences, settings, applications and content.

Access Authentication

The user can utilize the standalone near-field communication enabledmicro-subsystem, in contactless proximity of a near-field communicationenabled appliance/subsystem/system/terminal to enable authentication ofan appliance/subsystem/system/terminal.

The standalone near-field communication enabled micro-subsystem (asdiscussed above) can be integrated (by inserting into anelectro-mechanical socket) with the intelligent appliance 880.

Direct marketing (e.g., coupon/advertisement/promotion/brand loyaltyprogram) exists via AdMob and Groupon. A static social network existsvia MySpace and Facebook. The primary motivation of the user is socialconnections with other users in a social network website. However, a webbased social network can limit a human bond.

The standalone near-field communication enabledmicro-subsystem/intelligent appliance can enable an off-line socialexchange and direct and/or peer-to-peer marketing.

A personalized social network can utilize an augmented identity (e.g.,Recognizr) in addition to a profile. A personalized social network cankeep track of information/discussion/interests, which are important tothe user/users and make such information/discussion/interests availableto the user/users when the user/users are either on-line and/off-line.

Direct marketing can be segmented by demographics/geographical locations(e.g., gender/maritalstatus/age/religion/interests/education/work-position/income/creditprofile/net asset/zip code). However, adding real-time geographicallocation to direct marketing can be useful (e.g., the user close to astadium and minutes before an event can purchase a ticket and after anevent can receive direct marketing based on the user'sinterests/preferences/patterns. This is personalized marketing)

Personalization can be enhanced by the intelligence rendering softwaremodule 700 (e.g., a machine learning/iterative learn-by-doing/naturallearning algorithm in a software module). The intelligent software agent(a do-engine) can search the internet automatically and recommend to theuser a product/service/content based on the user'sinterests/preferences/patterns. Integration of the user's social networkprofile, the user's interests/preferences/patterns, the user's real-timegeographical location, data/information/images from the objects 720 andinteraction (of the objects 720 s with the intelligent subscribersubsystem 340 and the intelligent appliance 880) collectively can embedphysical reality into internet space and internet reality into aphysical space thus, it can enrich the user's experience and need.

FIG. 7 illustrates a method flow-chart enabling an intelligent, locationbased and personalized social network, which can be realized byincluding at least the following steps: (a) authenticating the user1000, (b) understanding the user's profile (an augmented identity ispreferred) 1020, (c) remembering the user's need 1040, (d) rememberingthe user's conversation 1060, (e) reminding the user's need 1080, (f)determining the user's location (real-time is preferred) 1100, (g)searching the internet for the user's need (the intelligent softwareagent is preferred) 1120, (h) recommending a product/service best suitedfor the user's need 1140, (i) developing a learning algorithm 1300(e.g., a machine learning/iterative learning-by-doing/natural learningalgorithm in the software module 700) from a plurality of the users'activities, (j) utilizing a learning algorithm 1320 and (k) re-iteratingall previous steps from (a) to (j) in a loop cycle 1340.

FIG. 8 illustrates a method flow-chart enabling intelligent, locationbased and personalized direct marketing (e.g.,coupon/advertisement/promotion/brand loyalty program) by including atleast the following steps: (a) authenticating the user 1000, (b)understanding the user's profile (an augmented identity is preferred)1020, (c) remembering the user's need 1040, (d) remembering the user'sconversation 1060, (e) reminding the user's need 1080, (f) determiningthe user's location (real-time is preferred) 1100, (g) searching theinternet for the user's need (the intelligent software agent ispreferred) 1120, (h) delivering direct marketing material (e.g.,coupon/advertisement/promotion/brand loyalty program) based on theuser's need 1160, (i) developing the learning algorithm 1300 (e.g., amachine learning/iterative learning-by-doing/natural learning algorithmin the software module 700) from the plurality of users' activities, (j)utilizing the learning algorithm 1320 and (k) re-iterating all previoussteps from (a) to (j) in a loop cycle 1340.

A method of enabling intelligent, location based and personalizedpeer-to-peer marketing (e.g., coupon/advertisement/promotion/brandloyalty program) can be realized by including at least the steps: (a)authenticating the user 1000, (b) understanding the first user's profile(an augmented identity is preferred) 1020, (c) authenticating a seconduser 1000A, (d) understanding the second user's profile (an augmentedidentity is preferred) 1020A, (e) determining the first user's location(real-time is preferred) 1100, (f) determining the second user'slocation (real-time is preferred) 1100A, (g) communicating and/orsharing with a plurality of users for a collective need (an augmentedidentity is preferred) 1180, (h) determining the users' locations(real-time is preferred) 1100B, (i) delivering marketing material (e.g.,coupon/advertisement/promotion/brand loyalty program) from the firstuser to the second user and/or users, seeking marketing material (e.g.,coupon/advertisement/promotion/brand loyalty program) 1160A, (j)developing the learning algorithm 1300 (e.g., a machinelearning/iterative learning-by-doing/natural learning algorithm in thesoftware module 700) from a plurality of the users' activities, (k)utilizing the learning algorithm 1320 and (o) re-iterating all previoussteps from (a) to (k) in a loop cycle 1340.

A method of enabling an intelligent, location based and personalizedpeer-to-peer microloan transaction can be realized by including at leastthe steps: (a) authenticating the user 1000, (b) understanding the firstuser's profile (an augmented identity is preferred) 1020, (c)authenticating a second user 1000A, (d) understanding the second user'sprofile (an augmented identity is preferred) 1020A, (e) determining thefirst user's location (real-time is preferred) 1100, (f) determining thesecond user's location (real-time is preferred) 1100A, (g) communicatingand/or sharing with a plurality of the users for a collective need (anaugmented identity is preferred) 1180, (h) determining the users'locations (real-time is preferred) 1100B, (i) determining legalparameters of a microloan 1200, (j) agreeing on legal parameters of themicroloan 1220, (k) establishing a security protocol between the firstuser and the second user and/or users, seeking the microloan 1240, (l)delivering the microloan from the first user to the second user and/orusers, seeking the microloan 1160B, (m) developing the learningalgorithm 1300 (e.g., a machine learning/iterativelearning-by-doing/natural learning algorithm in the software module 700)from a plurality of the users' activities, (n) utilizing the learningalgorithm 1320 and (o) re-iterating all previous steps from (a) to (n)in a loop cycle 1340.

A method of enabling an intelligent, location based and personalizedpeer-to-peer microcontent transaction can be realized by including atleast the steps: (a) authenticating the user 1000, (b) understanding thefirst user's profile (an augmented identity is preferred) 1020, (c)authenticating a second user 1000A, (d) understanding the second user'sprofile (an augmented identity is preferred) 1020A, (e) determining thefirst user's location (real-time is preferred) 1100, (f) determining thesecond user's location (real-time is preferred) 1100A, (g) communicatingand/or sharing with a plurality of users for a collective need (anaugmented identity is preferred) 1080, (h) determining the users'locations (real-time is preferred) 1100B, (i) determining legalparameters of microcontent transfer 1200 (j) agreeing on legalparameters of the microcontent transfer 1220, (k) establishing asecurity protocol between the first user and the second user and/orusers, seeking the microcontent transfer 1240, (l) delivering themicrocontent from the first user to the second user and/or users,seeking the microcontent 1160C, (m) developing the learning algorithm1300 (e.g., a machine learning/iterative learning-by-doing/naturallearning algorithm in the software module 700) from a plurality of theusers' activities, (n) utilizing the learning algorithm 1320 and (o)re-iterating all previous steps from (a) to (n) in a loop cycle 1340.

FIG. 9 illustrates a method flow-chart enabling intelligent, locationbased and personalized secure contactless (proximity) internet accessauthentication can be realized by including at least the steps of: (a)authenticating the user 1000, (b) determining the first user's location(real-time is preferred) 1100, (b) coming in proximity of a near-fieldenabled appliance/subsystem/system/terminal 1260, (c) authenticating theuser for the internet 1280, (d) developing the learning algorithm 1300(e.g., a machine learning/iterative learning-by-doing/natural learningalgorithm in the software module 700) from a plurality of users'activities, (e) utilizing the learning algorithm 1320 and (f)re-iterating all previous steps from (a) to (e) in a loop cycle 1340.

An intelligent software agent can also search the internet automaticallyand recommend to the user a product/service/content based on the user'sinterests/preferences/patterns. The intelligence rendering softwarealgorithm in the software module 700, allows the intelligent subscribersubsystem 340 and the intelligent appliance 880 to adapt/learn/relearnthe user's interests/preferences/patterns, thereby renderingintelligence.

For example, a bedroom clock connects/couples/interacts with theintelligent subscriber subsystem 340 and/or the intelligent appliance880 to automatically check on a traffic pattern/flight schedule via theinternet, before deciding whether to fiddle with an alarm time withouthuman input. When a rechargeable toothbrush detects a cavity in theteeth, it sends a signal through its electrical wiring andconnects/couples/interacts with the intelligent subscriber subsystem 340and/or the intelligent appliance 880, automatically accesses a locationbased/assisted dentist's electronic appointment book for a consultationwithout human input.

The intelligent appliance 880, can integrate a chemical/biosensor module(e.g., to monitor/measure body temperature, % oxygen, heart rhythm bloodglucose concentration, carbonyl sulfide gas emission due to a liver/lungdisease and a biomarker for a disease parameter) with module specificsoftware.

A zinc oxide nanostructure can detect many toxic chemicals. Also, aquantum cascade DFB/DBR/DR laser (with an emission wavelength inmid-to-far infrared range) can detect a part per billion amount ofcarbonyl sulfide gas. Wavelength switching of a quantum cascadeDFB/DBR/DR laser can be achieved by temperature, utilizing a thin-filmresistor/heater, while electrically insulating a laser bias currentelectrode. Wavelength switching by temperature is a slow (about tenmilliseconds) thermal process. However, wavelength switching byelectrical currents on multiple segments of a quantum cascade DFB/DBR/DRlaser is a rapid (about one millisecond) process. A larger wavelengthtuning range (nm) can be achieved by an array (a monolithic array ispreferred) of multi-segment quantum cascade DFB/DBR/DR lasers.Furthermore, a quantum cascade DFB/DBR/DR laser can emit in terahertzwavelength (85 μm to 150 μm) range, where a metal has a highreflectivity. Thus, a quantum cascade DFB/DBR/DR laser is ideal formetal detection (security).

A compact biomarker-on-a-chip to monitor/measure a disease parameter canbe fabricated and constructed by analyzing a change in reflectanceand/or a Raman shift and/or surface electric current due to adisease-related biomarker presence (with a specific antibody at about apicogram per mL concentration) on a surface of atwo-dimensional/three-dimensional photonic crystal of dielectricmaterial. Confirmation of a single biomarker is not conclusive for theonset/presence of a disease. Identifications of many biomarkers arenecessary to predict the onset/presence of a disease. However, atwo-dimensional/three-dimensional photonic crystal of dielectricmaterial, incident with a multi-wavelength (blue, green and red) lightsource can be utilized for simultaneous identifications of manybiomarkers of a disease. A multi-wavelength (blue, green and red) lightsource can be fabricated and constructed as follows: optically pumpingdifferent-sized photonic crystals, whereas the photonic crystals canindividually emit blue, green and red light based on their inherentsizes. Optical pumping can be generated from optical emission byelectrical activation of semiconductor quantum-wells. Blue, green andred light can be multiplexed/combined to generate white light. A Ramanshift scattered by the biomarker requires an expensive high-performancelaser. However, a Raman sensor (requires an inexpensive CD laser and awavelength tunable filter) can monitor/measure a Raman shift due to adisease-related biomarker presence. A biomarker molecule can induce achange in surface induced electric current when it binds to anatomically thin graphene surface (graphene's electronic sensitivity tobiomolecular adsorption).

Furthermore, an array of graphene biosensors can detect many biomarkersof a disease thus, enabling a personalized ultra-compact diagnosticmodule, which can be connected/coupled/interacted with the intelligentsubscriber subsystem 340 and the intelligent appliance 880.

A biological lab-on-a-chip (LOC) is a module that integrates a fewbioanalytical functions on a single chip to perform point-of-caredisease diagnostics. A miniature biological lab-on-a-chip modulemanufactured by Ostendum (www.ostendum.com) can be integrated (byinserting into an electro-mechanical cavity) with the intelligentappliance 880 to perform point-of-care disease diagnostics reliably,quickly and economically. Such a lab result can be transmitted from theintelligent appliance 880 to a location based/assisted physician forinterpretation without human input. Furthermore, electrically powered bya nano-generator, zinc oxide nanowires fabricated on galliumnitride/indium gallium nitride/aluminum gallium nitride can be ananolight source for a biological lab-on-a-chip.

Holographic images of the user's genes/proteins can be stored in theintelligent appliance 880 and such holographic images can enable aphysician/surgeon to design a personalized medical and/or surgicaltreatment.

Many software modules, as discussed above can consume significantelectrical power due to computational complexities. Alternatively, manysoftware modules can be processed at a secure remote/cloud server.Software modules can be embedded within the intelligent subscribersubsystem 340 and/or the intelligent appliance 880, if electrical powerconsumption and/or thermal management are feasible. Effective thermalmanagement is critical to fabricate and construct a high-performanceintelligent appliance 880. Thermal resistance must be minimized at allmaterial interfaces and materials with closely matching thermalexpansion coefficients must be used.

Graphene can be viewed as a plane of carbon atoms extracted from agraphite crystal. Multiple-atomic layers of graphene are easier tofabricate than a single-atomic layer graphene and multiple-atomic layersof graphene retain thermal conductivity of a single-atomic layergraphene. A nanoscaled graphene heat pipe can be utilized to cool a hotspot within the intelligent appliance 880. For efficient thermalmanagement, a heat sink/heat spreader of graphene/diamond/aluminumnitride/copper/aluminum/silicon/material with closely matching thermalexpansion coefficients can be attached (e.g., to the processor module760) by utilizing an interface heat transfer material (e.g., Indigo™www.enerdynesolutions.com). However, a significant (about 10×) heattransfer of a heat sink/heat spreader can be gained by creating ananostructured (e.g., zinc oxide nanostructures fabricated bymicroreactor assisted nanomaterial deposition process) surface on theheat sink/heat spreader. Furthermore, microchannels can be fabricated bya laser machining method onto the heat sink/heat spreader for passiveair and/or active (air/liquid/micro-scale ion cloud) cooling.

A microscale ion cloud can be generated as follows: on one side ofgraphene based microchannels is a carbon nanotube negative electrode,when a negative voltage is switched on, electrons jump from a negativeelectrode toward a positive electrode, colliding with air molecules neara hot spot thus, dissipating heat and producing a microscale cloud ofpositively charge ions. A microscale cloud of positively charge ionsdrifts towards a present negative electrode. However, before it reachesthe present negative electrode, voltage is switched on to anothernegative electrode at a different position. Forward and reverse wind ofa microscale cloud of positively charge ions (created by changing thepositions of negative electrodes) can cool a hot spot within theintelligent appliance 880. Alternatively, high-efficiency nanostructured50A° thick Sb₂Te₃/10A° thick Bi₂Te₃-based thin-film superlatticesthermoelectric cooler (TEC)/microrefrigerator (1 mm×3 mm) can also beutilized to cool a hot spot within the intelligent appliance 880.However, significant thermoelectric cooler (TEC)/microrefrigeratorefficiency can be gained by fabricating a quantum wire/quantum dot,transitioning from a two-dimensional superlattice.

Furthermore, the intelligent appliance 880 can be charged via resonantelectromagnetic inductive coupling energy transfer without a physicalwire.

Aluminum/magnesium alloys have small building blocks-called nanocrystalgrains with crystal defects. Nanocrystal grains with crystal defects aremechanically stronger than perfect aluminum/magnesium crystals. Theintelligent appliance 880's outer package can be constructed from ananoengineered aluminum/magnesium alloy, liquid Metal® alloy(www.liquidmetal.com), a carbon-polymer composite (carbon fiber embeddedwith a molten polymer injection mold) and magnesium metal. Furthermore,an antenna can be constructed from a carbon fiber embedded with ametal/conducting polymer.

FIG. 10 illustrates a block diagram ofconnections/couplings/interactions (viaelectrical/optical/radio/sensor/biosensor communication network(s))between the object(s) 720 with the intelligent subscriber subsystem(s)340 and the intelligent appliance(s) 880, utilizing internet protocolversion 6 (IPv6) and its subsequent versions. The context-awareness is(according to the user's situational context), personalized (tailored tothe user's need), adaptive (changes in response to the user's need) andanticipatory (can anticipate the user's desire).

The intelligent subscriber subsystem 340 and the intelligent appliance880 are both context-aware (inferred from the user's past/presentactivities, extracted from the user's content/data and explicit in theuser's profile) and sensor-aware (inferred from data/image/patterns fromthe object(s) 720).

FIG. 11 illustrates a method flow-chart enabling a task execution by asoftware agent. An incoming task is communicated from a communicationchannel 1360, to an incoming queuing element 1380, to an executionmanager 1400. The execution manager 1400 gains information from (andalso shares with) a transient knowledge element 1420 and a data baseelement 1600. The execution manager 1400 further gains information froma permanent knowledge element 1440, which includes an attribute element1460 and a capability element 1480. The capability element 1480 isconnected to a task element 1500, which is further connected to a ruleelement 1520, a method element 1540 and a knowledge source element 1560.Executed/processed tasks from the execution manager 1400, iscommunicated to an outgoing queuing task controller 1580 to thecommunication channel 1360.

The above description is provided to illustrate only preferredembodiments of the present invention; however, they are not intended tobe limited. Numerous variations and modifications within the scope ofthe present invention are possible.

I claim:
 1. An intelligent subsystem is coupled by a wireless network ora sensor network, wherein the intelligent subsystem comprises: (a) asystem-on-a-chip (SoC); wherein the system-on-a-chip (SoC) comprises amicroprocessor and/or a graphic processor, (b) a foldable display or astretchable display; (c) a radio transceiver or a sensor module; whereinthe radio transceiver or the sensor module comprises one or more firstelectronic components, (d) a voice processing module or a voiceprocessing algorithm; wherein the voice processing module comprises oneor more second electronic components, wherein the voice processingalgorithm comprises a first set of instructions to process a voicecommand, wherein the voice processing algorithm is stored in a firstnon-transitory storage media, wherein the intelligent subsystem isfurther coupled with or further comprises: (e) a natural languagealgorithm; and wherein the natural language algorithm comprises a secondset of instructions to understand the voice command in a natural spokenlanguage of a user, wherein the natural language algorithm is stored ina second non-transitory storage media, (f) a learning algorithm or anintelligence algorithm, wherein the learning algorithm or theintelligence algorithm is based on or includes an artificialintelligence algorithm, wherein the learning algorithm or theintelligence algorithm comprises a third set of instructions to providelearning or intelligence in response to an interest or a preference ofthe user, wherein the learning algorithm or the intelligence algorithmis stored in the second non-transitory storage media, wherein the firstnon-transitory storage media and the second non-transitory storage mediaare same or different.
 2. The intelligent subsystem according to claim1, further comprises an internet firewall.
 3. The intelligent subsystemaccording to claim 1, further comprises a user-specific security controlor a user-specific authentication.
 4. The intelligent subsystemaccording to claim 1, further comprises a biometric sensor or anear-field communication device.
 5. The intelligent subsystem accordingto claim 1, further comprises a super-capacitor or a fuel-cell.
 6. Theintelligent subsystem according to claim 1, is further coupled with orfurther comprises a search algorithm, wherein the search algorithmcomprises a fourth set of instructions to provide a search on theinternet automatically in response to an interest or a preference of theuser, wherein the search algorithm is stored in the secondnon-transitory storage media.
 7. The intelligent subsystem according toclaim 1, further comprises a software as a radio module or anultra-wideband module or a millimeter wave radio module, wherein thesoftware as the radio module comprises one or more third electroniccomponents, wherein the ultra-wideband module comprises one or moreelectronic fourth components, wherein the millimeter wave radio modulecomprises one or more fifth electronic components.
 8. The intelligentsubsystem according to claim 1, further comprises a specific firstelectronic module selected from the group consisting of: a videocompression module, a content over-IP module, a video conference over-IPmodule and a three-dimensional (3-D) video conference over-IP module,wherein the video compression module comprises one or more sixthelectronic components, wherein the content over-IP module comprises oneor more seventh electronic components, wherein the video conferenceover-IP module comprises one or more eighth electronic components,wherein the three-dimensional (3-D) video conference over-IP modulecomprises one or more ninth electronic components.
 9. The intelligentsubsystem according to claim 1, further comprises a specific secondelectronic module selected from the group consisting of: a voice-to-textconversion module and a text-to-voice conversion module, wherein thevoice-to-text conversion module comprises one or more tenth electroniccomponents, wherein the text-to-voice conversion module comprises one ormore eleventh electronic components.
 10. The intelligent subsystemaccording to claim 1, is further coupled with or further comprises aspecific algorithm selected from the group consisting of: a videocompression algorithm, a content over-IP algorithm, a video conferenceover-IP algorithm, a three-dimensional (3-D) video conference over-IPalgorithm, a voice-to-text conversion algorithm and a text-to-voiceconversion algorithm, wherein the specific algorithm comprises a fifthset of instructions, wherein the specific algorithm is stored in thefirst non-transitory storage media.
 11. The intelligent subsystemaccording to claim 1, is sensor-aware or context-aware.
 12. Anintelligent subsystem is coupled by a wireless network or a sensornetwork, wherein the intelligent subsystem comprises: (a) asystem-on-a-chip (SoC); wherein the system-on-a-chip (SoC) comprises amicroprocessor and/or a graphic processor, (b) a display or a foldabledisplay; (c) a radio transceiver or a sensor module; wherein the radiotransceiver or the sensor module comprises one or more first electroniccomponents, (d) a voice processing module or a voice processingalgorithm; wherein the voice processing module comprises one or moresecond electronic components, wherein the voice processing algorithmcomprises a first set of instructions to process a voice command,wherein the voice processing algorithm is stored in a firstnon-transitory storage media, (e) a biometric sensor or a near-fieldcommunication device; wherein the intelligent subsystem is coupled withor further comprises: (f) a natural language algorithm; and wherein thenatural language algorithm comprises a second set of instructions tounderstand the voice command in a natural spoken language of a user,wherein the natural language algorithm is stored in a secondnon-transitory storage media, (g) a learning algorithm or anintelligence algorithm, wherein the learning algorithm or theintelligence algorithm is based on or includes an artificialintelligence algorithm or a machine learning algorithm, wherein thelearning algorithm or the intelligence algorithm comprises a third setof instructions to provide learning or intelligence in response to aninterest or a preference of the user, wherein the learning algorithm orthe intelligence algorithm is stored in the second non-transitorystorage media, wherein the first non-transitory storage media and thesecond non-transitory storage media are same or different.
 13. Theintelligent subsystem according to claim 12, further comprises aninternet firewall.
 14. The intelligent subsystem according to claim 12,further comprises a user-specific security control or a user-specificauthentication.
 15. The intelligent subsystem according to claim 12,further comprises a super-capacitor or a fuel-cell.
 16. The intelligentsubsystem according to claim 12, is further coupled with or furthercomprises a search algorithm, wherein the search algorithm comprises afourth set of instructions to provide a search on the internetautomatically in response to an interest or a preference of the user,wherein the search algorithm is stored in the second non-transitorystorage media.
 17. The intelligent subsystem according to claim 12,further comprises a software as a radio module or an ultra-widebandmodule or a millimeter wave radio module, wherein the software as theradio module comprises one or more third electronic components, whereinthe ultra-wideband module comprises one or more electronic fourthcomponents, wherein the millimeter wave radio module comprises one ormore fifth electronic components.
 18. The intelligent subsystemaccording to claim 12, further comprises a specific first electronicmodule selected from the group consisting of: a video compressionmodule, a content over-IP module, a video conference over-IP module anda three-dimensional (3-D) video conference over-IP module, wherein thevideo compression module comprises one or more sixth electroniccomponents, wherein the content over-IP module comprises one or moreseventh electronic components, wherein the video conference over-IPmodule comprises one or more eighth electronic components, wherein thethree-dimensional (3-D) video conference over-IP module comprises one ormore ninth electronic components.
 19. The intelligent subsystemaccording to claim 12, further comprises a specific second electronicmodule selected from the group consisting of: a voice-to-text conversionmodule and a text-to-voice conversion module, wherein the voice-to-textconversion module comprises one or more tenth electronic components,wherein the text-to-voice conversion module comprises one or moreeleventh electronic components.
 20. The intelligent subsystem accordingto claim 12, is further coupled with or further comprises a specificalgorithm selected from the group consisting of: a video compressionalgorithm, a content over-IP algorithm, a video conference over-IPalgorithm, a three-dimensional (3-D) video conference over-IP algorithm,a voice-to-text conversion algorithm and a text-to-voice conversionalgorithm, wherein the specific algorithm comprises a fifth set ofinstructions, wherein the specific algorithm is stored in the firstnon-transitory storage media.
 21. The intelligent subsystem according toclaim 12, is sensor-aware or context-aware.
 22. An intelligent subsystemis coupled by a wireless network or a sensor network, wherein theintelligent subsystem comprises: (a) a system-on-a-chip (SoC); whereinthe system-on-a-chip (SoC) comprises a microprocessor and/or a graphicprocessor, (b) a display or a photonic crystal display, wherein thephotonic crystal display comprises photonic crystals; (c) a radiotransceiver or a sensor module; wherein the radio transceiver or thesensor module comprises one or more first electronic components, (d) avoice processing module or a voice processing algorithm; wherein thevoice processing module comprises one or more second electroniccomponents, wherein the voice processing algorithm comprises a first setof instructions to process a voice command, wherein the voice processingalgorithm is stored in a first non-transitory storage media, (e) abiometric sensor; (f) a near-field communication device; wherein theintelligent subsystem is further coupled with or further comprises: (g)a natural language algorithm; wherein the natural language algorithmcomprises a second set of instructions to understand the voice commandin a natural spoken language of a user, wherein the natural languagealgorithm is stored in a second non-transitory storage media, (h) alearning algorithm or an intelligence algorithm; and wherein thelearning algorithm or the intelligence algorithm is based on or includesan artificial intelligence algorithm, wherein the learning algorithm orthe intelligence algorithm is further based on or further includes afuzzy logic algorithm, wherein the learning algorithm or theintelligence algorithm comprises a third set of instructions to providelearning or intelligence in response to an interest or a preference ofthe user, wherein the learning algorithm or the intelligence algorithmis stored in the second non-transitory storage media, (i) a searchalgorithm, wherein the search algorithm comprises a fourth set ofinstructions to provide a search on the internet automatically inresponse to an interest or a preference of the user, wherein the searchalgorithm is stored in the second non-transitory storage media. whereinthe first non-transitory storage media and the second non-transitorystorage media are same or different.
 23. The intelligent subsystemaccording to claim 22, further comprises an internet firewall.
 24. Theintelligent subsystem according to claim 22, further comprises auser-specific security control or a user-specific authentication. 25.The intelligent subsystem according to claim 22, further comprises asuper-capacitor or a fuel-cell.
 26. The intelligent subsystem accordingto claim 22, further comprises a software as a radio module or anultra-wideband module or a millimeter wave radio module, wherein thesoftware as the radio module comprises one or more third electroniccomponents, wherein the ultra-wideband module comprises one or moreelectronic fourth components, wherein the millimeter wave radio modulecomprises one or more fifth electronic components.
 27. The intelligentsubsystem according to claim 22, further comprises a specific firstelectronic module selected from the group consisting of: a videocompression module, a content over-IP module, a video conference over-IPmodule and a three-dimensional (3-D) video conference over-IP module,wherein the video compression module comprises one or more sixthelectronic components, wherein the content over-IP module comprises oneor more seventh electronic components, wherein the video conferenceover-IP module comprises one or more eighth electronic components,wherein the three-dimensional (3-D) video conference over-IP modulecomprises one or more ninth electronic components.
 28. The intelligentsubsystem according to claim 22, further comprises a specific secondelectronic module selected from the group consisting of: a voice-to-textconversion module and a text-to-voice conversion module, wherein thevoice-to-text conversion module comprises one or more tenth electroniccomponents, wherein the text-to-voice conversion module comprises one ormore eleventh electronic components.
 29. The intelligent subsystemaccording to claim 22, is further coupled with or further comprises aspecific algorithm selected from the group consisting of: a videocompression algorithm, a content over-IP algorithm, a video conferenceover-IP algorithm, a three-dimensional (3-D) video conference over-IPalgorithm, a voice-to-text conversion algorithm and a text-to-voiceconversion algorithm, wherein the specific algorithm comprises a fifthset of instructions, wherein the specific algorithm is stored in thefirst non-transitory storage media.
 30. The intelligent subsystemaccording to claim 22, is sensor-aware or context-aware.